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概要と使いどころ
Persistent Obsidian-based memory for coding agents. Use at session start to orient from a knowledge vault, during work to look up architecture/component/pattern notes, and when discoveries are made to write them back. Activate when the user mentions obsidian memory, obsidian vault, obsidian notes, or /obs commands. Provides commands: init, analyze, recap, project, note, todo, lookup, relate.
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Testing guidelines for Jarvy CLI - unit testing patterns, integration tests with assert_cmd, test environment variables, platform-specific testing, and CI coverage strategies.
日本語の概要は準備中です。原文の説明を表示しています。
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
日本語の概要は準備中です。原文の説明を表示しています。
Security best practices and guidelines for the Jarvy CLI codebase - a cross-platform development environment provisioning tool that executes system commands with elevated privileges
日本語の概要は準備中です。原文の説明を表示しています。
Dependency management guidelines for Jarvy - crate selection criteria, feature flag best practices, version management, security auditing with cargo-audit and cargo-deny.
日本語の概要は準備中です。原文の説明を表示しています。
Create and manage AI agent sessions with multiple backends (SDK, Claude CLI, Codex, Cursor). Also supports multi-agent workflows with shared context, @mention coordination, and collaborative voting. Use for "start agent session", "create worker", "run agent", "multi-agent workflow", "agent collaboration", "test with tools", or when orchestrating AI conversations programmatically.
日本語の概要は準備中です。原文の説明を表示しています。
Complete workflow for building, implementing, and testing goal-driven agents. Orchestrates building-agents-* and testing-agent skills. Use when starting a new agent project, unsure which skill to use, or need end-to-end guidance.
日本語の概要は準備中です。原文の説明を表示しています。
Run section orchestrators to coordinate multi-component workflows. Use when starting work on a section.
日本語の概要は準備中です。原文の説明を表示しています。
North star guidance for the agent-resources project. Use this skill to understand project context, get inspiration for development decisions, and resolve uncertainty about feature priorities or design choices. Reference when asking 'why does this project exist?' or 'what should we optimize for?'
日本語の概要は準備中です。原文の説明を表示しています。
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
日本語の概要は準備中です。原文の説明を表示しています。
Check and process messages from autonomous AILANG agents. Use when starting a session, after agent handoffs, or when checking for completion notifications.
日本語の概要は準備中です。原文の説明を表示しています。
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm
日本語の概要は準備中です。原文の説明を表示しています。
Launches specialized Claude agents for targeted tasks. Analyzes requirements, selects appropriate agent, and executes with optimized configuration.
日本語の概要は準備中です。原文の説明を表示しています。
Run and manage ad-hoc AI prompts in sgai workspaces without starting a full agentic session. Use when you need to run a one-off AI prompt against a workspace, check the status of a running ad-hoc prompt, or stop a running ad-hoc prompt.
日本語の概要は準備中です。原文の説明を表示しています。
Builds an ideal customer profile from evidence: case studies, testimonials, customer logos, solutions pages, reviews and any sales notes you have. Produces market sizing layers, firmographic segments, a champion and an economic buyer persona, a negative ICP, intent signals, customer proof points and a voice-of-customer section in the buyers' own words, every claim sourced. Triggers: "ICP research", "ideal customer profile", "who are our customers", "customer segments", "buyer personas", "who should we target". Run after /company-context. Not for competitor analysis (use /competitor-research) or call transcript patterns (use /win-loss).
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Investigate one Anabasis v2 campaign from its log and turn what it shows into findings with one owner each. Answers whether a comparison's reading (step, no-step, not-scored) may be believed, whether a fail was the solver's or the exam's, whether the harness could know the exam, whether the tasks bracket the solver, whether the campaign is climbing, and where the hours and dollars went. Reads evidence; starts no solve, session or round, and changes no verdict.
日本語の概要は準備中です。原文の説明を表示しています。
Test an uncertain Anabasis v2 path at the smallest real layer that can decide it, before a paid round is asked to: one fact from a log or a dry run, a walk of one value across the layers a change touches, a replay of every recorded log through this tree's readers, a whole round rehearsed on a seeded copy of a campaign with a script in each model seat (`bun run runs seed`, `bun run runs rehearse`), or one live seat from a seed. Use when the operator asks whether a change will work in the real system, to simulate or rehearse a round, to stand again in a position a past run stood in, what a campaign of a given size can read, or what a kill or a stop leaves behind. Not for reading a finished run (whole-run-investigation) or starting a paid one (run-management).
日本語の概要は準備中です。原文の説明を表示しています。
Review changed Anabasis v2 code for reuse, simplification, efficiency and altitude, then apply the fixes. Quality only: it hunts no bugs, which /code-review does. Starts from what the repository already finds (the lint plugins, the whole-tree census, the not-slop ledger), measures before and after with reduce-complexity's scripts, and holds a pass to its budgets and to the rules no pass trades. Use as /simplify on your own diff before a commit, or when the operator asks whether code is simple enough, why something exists, to go one layer higher, or to remove something and find another way.
日本語の概要は準備中です。原文の説明を表示しています。
Bootstrap-обёртка — создаёт пустой репо `DS-personal-guide` под аккаунтом пилота (плоское имя, без логина в названии; если ещё нет), затем вызывает /personal-guide-render для наполнения 6 файлами. Используй когда пилот в первый раз просит «создай мне персональное руководство», «хочу начать программу личного развития», «собери мне стартовый план».
日本語の概要は準備中です。原文の説明を表示しています。
Аналитик ограничений (DP.ROLE.054): находит главное ограничение (bottleneck) конкретного конвейера через TOC Five Steps + EC + NBR и строит Stage Dependency Map. Используй ТОЛЬКО при работе с конкретным WP, эпиком, проектом или weekplan (--target WP-NNN|weekplan|pilot:id). НЕ используй для общих вопросов приоритизации без явного системного контекста.
日本語の概要は準備中です。原文の説明を表示しています。
Drafts a GitHub issue title and body using the target repository's issue templates under .github/ISSUE_TEMPLATE. Use when the user asks to create, draft, or file a GitHub issue, bug report, feature request, chore, documentation issue, or RFC proposal, or wants issue text that matches the repo's template.
日本語の概要は準備中です。原文の説明を表示しています。
Generate a PR description following the repository's pull request template. Use when the user asks to create, draft, or generate a PR description for a pull request. The skill automatically locates the PR template in the target repository and fills it in based on the git diff.
日本語の概要は準備中です。原文の説明を表示しています。
Work with a Grafana instance — search and read dashboards, run datasource queries (Prometheus, Loki, PostgreSQL, etc.), inspect alert rules and silences, post annotations, and manage folders. Use this whenever the user mentions a Grafana dashboard, panel, or alert; pastes a Grafana URL; asks "what does this dashboard show", "query this metric in Grafana", "is this alert firing", "silence this alert", or wants to create/export a dashboard — even if they don't say "API". Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
日本語の概要は準備中です。原文の説明を表示しています。
Read, search, and manage Confluence Cloud pages, spaces, blog posts, comments, attachments, and labels. Use this whenever the user wants to find a page, read a doc, search the wiki with CQL, create or update a page, add a comment, list pages in a space, pull an attachment, or ask "what does the wiki say about X" — even if they don't say "API". Also use it for any *.atlassian.net/wiki URL, or a CQL string when the context is wiki content rather than tickets. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
日本語の概要は準備中です。原文の説明を表示しています。